Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:57
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLA
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	70
Syntax		MODEL PROGRAM ED=1 EMIN=102 EMAX=95 N=1.
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR bodyweig
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
  /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.08

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED        EMIN        EMAX           N

     0.2    1393.862941  1.00000000  102.000000  95.0000000  1.00000000
     1.2    674.9413140  5.12942636  104.113893  97.4447659  .988397051
     2.2    578.2873964  5.94785114  105.306212  95.9586578  1.07644304
     3.1    570.9342489  7.00700032  104.473276  95.0939079  1.02189114
     4.2    562.7938310  6.96768211  104.788606  94.9901386  .790764454
     5.1    553.7364935  6.89639467  105.146472  95.3458084  .868566285
     6.1    549.1701835  7.32822826  105.154718  95.2175952  .852341250
     7.1    527.7077429  10.3742760  104.947710  94.7328257  .870692719
     8.1    515.0798407  13.1600816  104.721412  94.6143650  .922474087
     9.1    505.9641783  16.5757815  104.486346  94.6253406  .999371647
    10.1    503.0548718  19.1207054  104.377897  94.6280540  1.05024230
    11.1    502.4027389  20.7627577  104.324494  94.5921563  1.07523779
    12.1    502.3218968  21.4287178  104.314800  94.5643631  1.07782605
    13.1    502.3109878  21.6194135  104.311740  94.5499846  1.07416515
    14.1    502.3063888  21.6799466  104.314903  94.5400207  1.06784077
    15.1    502.3055750  21.6590459  104.315899  94.5373733  1.06490427
    16.1    502.3055191  21.6393965  104.316911  94.5378461  1.06440529
    17.1    502.3055173  21.6366687  104.316780  94.5379966  1.06448097

Run stopped after 17 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable BODYWEIG

  Source                 DF  Sum of Squares  Mean Square

  Regression              4   707105.83540   176776.45885
  Residual               66      502.30552        7.61069
  Uncorrected Total      70   707608.14092

  (Corrected Total)      69     1639.41773

  R squared = 1 - Residual SS / Corrected SS =     .69361

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED        21.636668715  8.608808232  4.448628510 38.824708920
  EMIN      104.31678007   .569919208 103.17889966 105.45466048
  EMAX      94.537996571   .867005032 92.806965174 96.269027969
  N          1.064480970   .406048914   .253778157  1.875183783




  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED      EMIN      EMAX         N

  ED          1.0000    -.2901    -.5452    -.1855
  EMIN        -.2901    1.0000    -.1912    -.4559
  EMAX        -.5452    -.1912    1.0000     .5920
  N           -.1855    -.4559     .5920    1.0000

Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:57
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLA
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	70
Syntax		MODEL PROGRAM ED=1 N=1 EMIN=0.14 EMAX=0.03 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR thymus
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.07

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.1    .0406262496  1.00000000  1.00000000  .140000000  .030000000
     1.2    .0232530901  1.00016823  .999779147  .138466631  .051372663
     2.2    .0223595840  1.00023032  .999624295  .131850739  .051994937
     3.1    .0215504722  1.44458834  1.00676190  .128071126  .050203923
     4.1    .0215126506  1.46639503  1.00782155  .129154100  .050181512
     5.1    .0215053876  1.47725442  1.01689959  .128883125  .050640385
     6.1    .0214168010  1.64930887  1.16271247  .126613230  .050552260
     7.1    .0214033067  1.67254212  1.12333116  .127073383  .050214627
     8.1    .0213990949  1.70789648  1.09746804  .127073295  .050034600
     9.1    .0213988729  1.71896586  1.09837987  .126988144  .050012309
    10.1    .0213988666  1.72079165  1.09903608  .126970492  .050014519
    11.1    .0213988666  1.72080619  1.09904382  .126970442  .050014704

Run stopped after 11 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable THYMUS

  Source                 DF  Sum of Squares  Mean Square

  Regression              4         .54188         .13547
  Residual               66         .02140   3.242253E-04
  Uncorrected Total      70         .56328

  (Corrected Total)      69         .09399

  R squared = 1 - Residual SS / Corrected SS =     .77232

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED         1.720806187   .543076361   .636519248  2.805093126
  N          1.099043820   .343825338   .412574385  1.785513256
  EMIN        .126970442   .005235586   .116517258   .137423627
  EMAX        .050014704   .003758895   .042509829   .057519579

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000     .1327    -.5069    -.3172
  N            .1327    1.0000    -.5556     .4541
  EMIN        -.5069    -.5556    1.0000    -.1766
  EMAX        -.3172     .4541    -.1766    1.0000

Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:57
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLA
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	70
Syntax		MODEL PROGRAM ED=1 N=1 EMIN=44 EMAX=1600 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR erod
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
 /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.07

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.3    8354766.342  1.00000000  1.00000000  44.0000000  1600.00000
     1.2    6483358.539  .971241395  .970950904  331.078750  1469.65096
     2.2    6264062.171  .947045729  .946510837  322.745078  1382.58515
     3.3    5957674.354  .748885986  .746349481  313.990104  1380.30719
     4.1    5270663.784  .267440050  .623411939  109.399325  1325.76361
     5.3    4983028.276  .169619301  .786790500  67.8303309  1308.72216
     6.4    4884508.702  .216357719  .893802306  66.1075003  1304.15352
     7.3    4671700.127  .134189609  1.07267108  17.4549694  1210.63288
     8.3    4670123.519  .135964638  1.08700338  26.5028230  1207.34475
     9.2    4659665.254  .141115558  1.12141107  22.6110278  1193.79780
    10.1    4657824.121  .137803819  1.30700579  65.3769192  1164.65180
    11.1    4648289.368  .139028967  1.25648835  39.9843515  1182.70606
    12.1    4647746.636  .144518657  1.28339437  50.9427951  1184.98435
    13.1    4647478.588  .142803829  1.29508323  48.1541434  1183.48243
    14.1    4647468.184  .142743760  1.29942364  49.0697332  1182.94882
    15.1    4647468.079  .142779740  1.29997936  49.2152411  1182.91923
    16.1    4647468.079  .142780403  1.29998485  49.2161869  1182.91965

Run stopped after 16 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable EROD

  Source                 DF  Sum of Squares  Mean Square

  Regression              4  38233623.9288  9558405.98221
  Residual               43  4647468.07945   108080.65301
  Uncorrected Total      47  42881092.0083

  (Corrected Total)      46  13310902.1055

  R squared = 1 - Residual SS / Corrected SS =     .65085

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED          .142780403   .062030027   .017684931   .267875875
  N          1.299984852   .672068775  -.055371004  2.655340707
  EMIN      49.216186881 174.34005669 -302.3740454 400.80641921
  EMAX      1182.9196479 84.561533597 1012.3850627 1353.4542331




  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000     .3683     .6832     .1701
  N            .3683    1.0000     .6979    -.5138
  EMIN         .6832     .6979    1.0000    -.2708
  EMAX         .1701    -.5138    -.2708    1.0000

Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:57
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLA
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	70
Syntax		MODEL PROGRAM ED=1.46 N=1 EMIN=0.310 EMAX=0.435 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR ffa
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.11

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.1    4.099629665  1.46000000  1.00000000  .310000000  .435000000
     1.1    3.850367157  1.46004805  .999335906  .352925859  .504300307
     2.1    3.845690855  1.46155650  .997377684  .366082683  .497925439
     3.2    3.801982546  1.82426477  .628449215  .354251976  .509956015
     4.1    3.791969686  2.11946976  .579834964  .334244276  .530581712
     5.1    3.774837778  2.41600190  .341061760  .332079602  .549055802
     6.2    3.772285223  2.47321885  .321603607  .325578183  .545274263
     7.1    3.768201857  2.84755665  .486167146  .335994824  .526253163
     8.1    3.703133218  7.48720155  .907328666  .380839907  .542099463
     9.1    3.662632960  11.4226423  1.18864983  .384882250  .559074606
    10.1    3.576897181  19.7788780  1.82518229  .377818391  .570046291
    11.1    3.565420537  32.5707871  3.02114908  .406028366  .547990400
    12.1    3.515713630  40.4574832  3.55308596  .379295938  .566852507
    13.1    3.514666467  38.8052681  3.41122839  .378036405  .568171925
    14.1    3.514401837  37.2704458  3.28253967  .376662071  .569140596
    15.1    3.514378905  37.5368872  3.30702394  .376752628  .569091145
    16.1    3.514352856  37.6664471  3.32377504  .376808344  .569042919
    17.1    3.514216936  38.0340408  3.39465022  .376980836  .568851482
    18.1    3.513954423  38.3109648  3.50913656  .377158533  .568564105
    19.1    3.513315639  38.2952711  3.75234671  .377340694  .568014651
    20.2    3.512013004  37.2782923  4.20179604  .377329664  .567197625
    21.1    3.509985217  34.1990907  5.00000000  .376663314  .566444907
    22.1    3.509909186  33.9587738  5.00000000  .376117499  .567631674
    23.1    3.509906872  33.8828799  5.00000000  .376159268  .567765418
    24.1    3.509906862  33.8885775  5.00000000  .376167365  .567772827
    25.1    3.509906862  33.8886685  5.00000000  .376167985  .567772948

Run stopped after 25 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable FFA

  Source                 DF  Sum of Squares  Mean Square

  Regression              4       14.39308        3.59827
  Residual               66        3.50991         .05318
  Uncorrected Total      70       17.90298

  (Corrected Total)      69        4.04924

  R squared = 1 - Residual SS / Corrected SS =     .13319




                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED        33.888668492 81.450856379 -128.7332132 196.51055023
  N          5.000000000 96.149382908 -186.9684368 196.96843682
  EMIN        .376167985   .036672801   .302948375   .449387594
  EMAX        .567772948   .054645694   .458669299   .676876597

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000    -.9822    -.1343     .4919
  N           -.9822    1.0000     .1820    -.4701
  EMIN        -.1343     .1820    1.0000    -.0840
  EMAX         .4919    -.4701    -.0840    1.0000

Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:57
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLA
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	70
Syntax		MODEL PROGRAM ED=1.46 N=1 EMIN=1.58 EMAX=3.53 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR bilirubi
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 3000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.18

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.3    80.10002662  1.46000000  1.00000000  1.58000000  3.53000000
     1.1    63.94083774  1.57285578  .986128520  1.55808306  2.86394855
     2.2    61.75167074  2.76245900  .436578712  .689794365  3.25140534
     3.2    57.76955515  4.19032391  .268144683  .752698987  3.47948959
     4.4    55.96087078  5.40696967  .306896857  .989453443  3.62064490
     5.1    55.82823185  5.70383121  .293680316  .950573517  3.68508679
     6.1    55.39341214  6.94180849  .254310719  .696333866  3.97728684
     7.1    55.26894218  7.66748374  .215065684  .575757300  4.13885409
     8.1    55.18787300  8.12740703  .209950934  .516287737  4.22762409
     9.1    55.08596572  9.50729886  .179957158  .293695441  4.51008164
    10.2    55.02951119  10.4035683  .174911499  .145025353  4.67852667
    11.1    54.98845361  11.2967382  .156737483  .000000000  4.85697324
    12.1    54.98362028  11.3398120  .158280862  .000000000  4.85904053
    13.1    54.98223159  11.3923490  .158739187  .000000000  4.86167585
    14.1    54.97862538  11.5579615  .159421493  .000000000  4.86816271
    15.1    54.96985050  12.0125883  .160266588  .000000000  4.88400081
    16.1    54.94990474  13.1266264  .160959913  .000000000  4.91961195
    17.1    54.90967239  15.4772243  .160688856  .000000000  4.98755609
    18.2    54.84031050  19.6759213  .158510458  .000000000  5.08880680
    19.1    54.73548653  25.7834767  .158636912  .048576360  5.14561225
    20.1    54.47093797  38.9424424  .182782699  .434534343  4.93248659
    21.1    54.39368883  44.3966368  .197938665  .649841941  4.77391257
    22.1    54.23495996  49.0292208  .204782979  .734526641  4.62700745
    23.1    54.12848923  54.8530957  .209131278  .761470511  4.64322215
    24.1    53.85401943  83.5194627  .240140495  1.03009610  4.59360251
    25.1    53.50403591  121.504549  .257916942  1.01561574  4.83464591
    26.1    53.22773489  147.564173  .286546105  1.20515139  4.71666731
    27.1    52.92705256  181.517397  .322539522  1.35924346  4.51982416
    28.1    52.75286412  203.298184  .333695641  1.34707953  4.59598005
    29.1    52.63491651  252.613822  .367843497  1.44509400  4.67057991
    30.1    52.56909675  276.803350  .382870193  1.45225602  4.69020601
    31.1    52.55329950  297.877608  .397755056  1.48500009  4.68135267
    32.1    52.55100833  302.975512  .400308175  1.48644958  4.68146462
    33.1    52.54931625  307.863313  .402273339  1.48974282  4.68510445
    34.1    52.54239691  323.800449  .406068502  1.49635818  4.70257568
    35.1    52.52678994  354.938413  .409127938  1.50410506  4.74424180
    36.1    52.48306140  433.904365  .408068546  1.51230458  4.86126654
    37.1    52.37587032  672.904379  .385579998  1.50739421  5.22020589
    38.1    52.31047455  809.802479  .348999799  1.45553399  5.40917943
    39.1    52.27330200  754.194131  .330834987  1.40983485  5.29096802
    40.1    52.25945213  807.403032  .331520245  1.42014611  5.35415268
    41.1    52.24877256  854.330780  .335511598  1.43339424  5.39233184
    42.1    52.22639832  987.459587  .337729653  1.44956457  5.48989457
    43.1    52.20002820  1135.06930  .339627827  1.45915166  5.58134470
    44.1    52.16331387  1377.35120  .331799811  1.44954353  5.72844614
    45.1    52.12474506  1658.26110  .328863561  1.44231802  5.84929838
    46.1    52.10351234  1993.90975  .316845910  1.42720605  6.02396528
    47.1    52.08239449  2234.42836  .313425805  1.42431997  6.10047551
    48.2    52.05244947  2672.94766  .311118604  1.42586986  6.21894938
    49.1    52.03877011  3000.00000  .306862762  1.42188318  6.31598577



    50.1    52.03731973  3000.00000  .307095392  1.42072301  6.28560990

Run stopped after 50 major iterations.
Too many major iterations.


Nonlinear Regression Summary Statistics     Dependent Variable BILIRUBI

  Source                 DF  Sum of Squares  Mean Square

  Regression              4      406.97268      101.74317
  Residual               66       52.03732         .78844
  Uncorrected Total      70      459.01000

  (Corrected Total)      69       90.08871

  R squared = 1 - Residual SS / Corrected SS =     .42238

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED        3000.0000000 39496.582723 -75857.47173 81857.471735
  N           .307095392   .399289221  -.490111260  1.104302043
  EMIN       1.420723010   .546692080   .329217054  2.512228965
  EMAX       6.285609897 10.688611550 -15.05489161 27.626111406

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000    -.9609    -.7829     .9985
  N           -.9609    1.0000     .9030    -.9580
  EMIN        -.7829     .9030    1.0000    -.7894
  EMAX         .9985    -.9580    -.7894    1.0000

Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:58
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLA
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	70
Syntax		MODEL PROGRAM ED=1 N=1 EMIN=192 EMAX=230 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR asat
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.14

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.3    8522273.320  1.00000000  1.00000000  192.000000  230.000000
     1.5    6120100.103  .987503272  1.05049183  208.478003  475.227573
     2.3    5696115.356  16.9826045  1.04881139  221.929630  719.364531
     3.2    5309248.223  16.6860287  .454804332  96.2370908  703.299898
     4.5    5282358.203  16.5518897  .428296672  112.557429  690.589978
     5.5    5275999.595  16.4539054  .458994858  123.491846  682.398451
     6.4    5272384.907  16.7919650  .443581888  129.251419  683.313948
     7.1    5266768.144  16.6908284  .478605485  140.768505  672.598853
     8.1    5257811.728  17.0438818  .580580257  175.153978  643.262543
     9.1    5247978.736  17.7275507  .578334248  170.032199  651.428006
    10.1    5198536.603  23.4657127  .674433686  173.468767  673.204333
    11.1    5145607.668  31.6621328  .861866246  199.471478  675.244284
    12.1    5089200.928  46.1723277  1.20222355  234.778337  663.893018
    13.1    5036173.988  59.4107659  1.40834061  229.486349  673.916556
    14.1    5003673.162  77.4374861  1.74037124  235.458682  672.141511
    15.1    4992679.257  91.2329159  1.97542171  236.737406  675.788463
    16.1    4990380.061  101.404911  2.15537608  240.770000  677.697645
    17.1    4990318.641  101.698620  2.15427203  239.256676  678.808073
    18.1    4990304.990  101.622585  2.15371975  239.632748  678.472242
    19.1    4990297.565  101.588513  2.15215283  239.732115  678.366324
    20.1    4990247.998  101.381959  2.13786620  240.100088  677.963876
    21.1    4990143.940  100.983069  2.10232068  240.454520  677.604281
    22.1    4989834.503  99.8297388  1.98386680  240.820927  677.388784
    23.1    4989351.188  97.6307101  1.72485390  240.564037  678.388999
    24.1    4988625.737  97.8658612  1.64429945  239.640458  680.677908
    25.1    4984381.770  101.750869  1.08176308  228.812827  704.768982
    26.1    4982579.037  105.981869  1.11842734  225.976393  712.401414
    27.1    4981330.165  112.492647  .928638714  221.190934  730.874384
    28.1    4980567.866  117.178277  .917958598  221.593811  738.742286
    29.1    4980158.175  125.225112  .847678968  220.336139  752.693392
    30.1    4979712.417  134.653134  .843192576  220.483776  763.047730
    31.1    4979432.975  141.550917  .800645380  218.998381  771.615931
    32.1    4979264.764  149.295456  .772842405  217.738070  778.815839
    33.1    4979206.412  152.976678  .772812278  217.761758  780.872943
    34.1    4979180.871  158.514563  .757255182  217.637130  786.531236
    35.1    4979178.846  159.709201  .755654735  217.631623  787.639174
    36.1    4979178.500  160.294758  .754243773  217.559287  788.269318
    37.1    4979178.415  160.487122  .753619782  217.503040  788.521234
    38.1    4979178.408  160.471463  .753567180  217.491002  788.529954

Run stopped after 38 major iterations.
Optimal solution found.





Nonlinear Regression Summary Statistics     Dependent Variable ASAT

  Source                 DF  Sum of Squares  Mean Square

  Regression              4  11537524.5919  2884381.14797
  Residual               66  4979178.40810    75442.09709
  Uncorrected Total      70  16516703.0000

  (Corrected Total)      69  7248533.84286

  R squared = 1 - Residual SS / Corrected SS =     .31308

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED        160.47146280 261.77032828 -362.1698606 683.11278618
  N           .753567180   .656439545  -.557056660  2.064191019
  EMIN      217.49100221 56.642279447 104.40104246 330.58096196
  EMAX      788.52995434 258.37878538 272.66006484 1304.3998438

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000    -.7014    -.1150     .9037
  N           -.7014    1.0000     .5474    -.8321
  EMIN        -.1150     .5474    1.0000    -.3537
  EMAX         .9037    -.8321    -.3537    1.0000

Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:58
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLB
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	63
Syntax		MODEL PROGRAM ED=1 N=1 EMIN=105 EMAX=82 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR bodyweig
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.06

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.2    5919.114679  1.00000000  1.00000000  105.000000  82.0000000
     1.3    2484.829603  25.9912092  .989443841  107.595492  87.7469642
     2.2    1523.276598  28.4984724  1.10297941  104.549551  81.9806193
     3.1    1472.860122  28.7270657  1.17584780  105.443406  80.9483962
     4.2    1472.450481  28.7275503  1.21925544  105.368064  81.0961301
     5.1    1471.721075  28.6128472  1.23756236  105.357396  81.2452200
     6.1    1469.602571  28.1653369  1.28139005  105.340259  81.5638031
     7.1    1464.852351  26.9664351  1.36436697  105.327629  82.1083680
     8.1    1456.219543  24.4198670  1.48920953  105.372272  82.8499474
     9.1    1446.926912  21.8444097  1.54344712  105.523738  83.1022822
    10.1    1441.189997  21.3163364  1.49903464  105.561003  82.6774171
    11.1    1440.479712  21.6377233  1.50686612  105.436993  82.5469779
    12.1    1440.450383  21.6615979  1.51351863  105.439965  82.5413840
    13.1    1440.434623  21.6609818  1.52824426  105.434362  82.5560700
    14.1    1440.434465  21.6766663  1.52807426  105.434294  82.5543476
    15.1    1440.434451  21.6733028  1.52817598  105.434164  82.5549919

Run stopped after 15 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable BODYWEIG

  Source                 DF  Sum of Squares  Mean Square

  Regression              4   604584.39307   151146.09827
  Residual               59     1440.43445       24.41414
  Uncorrected Total      63   606024.82752

  (Corrected Total)      62     7128.50903

  R squared = 1 - Residual SS / Corrected SS =     .79793

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED        21.673302801  5.110378835 11.447458371 31.899147231
  N          1.528175983   .489015951   .549657326  2.506694640
  EMIN      105.43416371   .930093204 103.57305151 107.29527591
  EMAX      82.554991853  1.575229382 79.402965140 85.707018566

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000    -.1751    -.2628    -.5188
  N           -.1751    1.0000    -.3607     .5181
  EMIN        -.2628    -.3607    1.0000    -.1258
  EMAX        -.5188     .5181    -.1258    1.0000




Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:58
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLB
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	63
Syntax		MODEL PROGRAM ED=1.9 N=1 EMIN=0.14 EMAX=0.03 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR thymus
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.10

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.1    .0375474041  1.90000000  1.00000000  .140000000  .030000000
     1.1    .0329514734  1.90007928  .999730798  .143258739  .041616559
     2.1    .0328928242  1.90009292  .999453063  .141691712  .042209623
     3.2    .0304689847  1.91973159  .739685301  .145460492  .038582190
     4.1    .0290151452  1.95988111  .493362797  .159524663  .026955320
     5.2    .0289429437  1.96213403  .481688199  .159104797  .025260325
     6.1    .0288997989  1.95877800  .463947166  .159320808  .025210353
     7.1    .0288758012  1.96581169  .443296162  .161183836  .023502864
     8.1    .0288667307  1.97163046  .430314616  .162746965  .022104560
     9.1    .0288660051  1.97169102  .425937050  .163229844  .021617123
    10.1    .0288659275  1.96982939  .424930539  .163371507  .021497160
    11.1    .0288658691  1.96629168  .424099638  .163479839  .021426307
    12.1    .0288657259  1.95391824  .422933354  .163684518  .021350652
    13.1    .0288655835  1.93689151  .422225049  .163848865  .021362152
    14.1    .0288655123  1.92547786  .422687250  .163859615  .021469833
    15.1    .0288654995  1.92431581  .423204465  .163802634  .021538620
    16.1    .0288654987  1.92523963  .423392587  .163777400  .021553529
    17.1    .0288654987  1.92543586  .423391943  .163775720  .021552977
    18.1    .0288654987  1.92543945  .423393040  .163775725  .021552929

Run stopped after 18 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable THYMUS

  Source                 DF  Sum of Squares  Mean Square

  Regression              4         .58804         .14701
  Residual               59         .02887   4.892457E-04
  Uncorrected Total      63         .61691

  (Corrected Total)      62         .13676

  R squared = 1 - Residual SS / Corrected SS =     .78893

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED         1.925439452  1.469893319 -1.015810286  4.866689189
  N           .423393040   .177520696   .068174947   .778611133
  EMIN        .163775725   .022328271   .119096958   .208454492
  EMAX        .021552929   .017553733  -.013572010   .056677868




  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000     .2473    -.5778    -.1412
  N            .2473    1.0000    -.8918     .8798
  EMIN        -.5778    -.8918    1.0000    -.6864
  EMAX        -.1412     .8798    -.6864    1.0000

Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:58
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLB
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	63
Syntax		MODEL PROGRAM ED=1 N=1 EMIN=44 EMAX=1215 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR erod
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.06

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.3    4715716.274  1.00000000  1.00000000  44.0000000  1215.00000
     1.3    3078181.648  .976350102  .976111214  252.690299  1395.27879
     2.3    3039612.767  .897919994  1.30269475  232.181658  1444.14136
     3.3    2965803.507  .863301621  1.25190507  224.513701  1460.19423
     4.1    2508929.574  .565921014  .877343957  146.269363  1385.95653
     5.2    2182130.401  .322824848  1.10378311  82.3079000  1312.55631
     6.4    2175237.059  .350184763  1.14431443  79.0256251  1321.61243
     7.4    2152533.750  .339415705  1.26637192  100.843046  1285.57125
     8.1    2111412.933  .275183979  1.40313442  79.4308973  1226.56137
     9.3    2109130.405  .275189677  1.35475770  63.5989827  1235.71287
    10.2    2104435.748  .290574590  1.45165569  75.0848791  1234.91611
    11.1    2102739.068  .281620713  1.50538550  72.8677884  1229.00060
    12.1    2102663.548  .282262214  1.52269263  74.9701057  1226.58090
    13.1    2102659.115  .282566915  1.52569520  75.2976166  1226.85326
    14.1    2102659.055  .282524398  1.52579527  75.2338622  1226.81452
    15.1    2102659.055  .282524891  1.52579744  75.2380863  1226.81438

Run stopped after 15 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable EROD

  Source                 DF  Sum of Squares  Mean Square

  Regression              4  27775346.3251  6943836.58128
  Residual               36  2102659.05521    58407.19598
  Uncorrected Total      40  29878005.3803

  (Corrected Total)      39  11020155.8833

  R squared = 1 - Residual SS / Corrected SS =     .80920

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED          .282524891   .071760800   .136987243   .428062539
  N          1.525797436   .583574015   .342254478  2.709340395
  EMIN      75.238086262 88.624785820 -104.5013102 254.97748272
  EMAX      1226.8143832 83.451620380 1057.5666525 1396.0621138

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000     .0164     .4383     .4028
  N            .0164    1.0000     .5642    -.5880
  EMIN         .4383     .5642    1.0000    -.2498
  EMAX         .4028    -.5880    -.2498    1.0000




Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:58
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLB
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	63
Syntax		MODEL PROGRAM ED=14.6 N=1 EMIN=0.310 EMAX=1.1 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR ffa
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.10

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.2    4.811450261  14.6000000  1.00000000  .310000000  1.10000000
     1.3    3.723782271  14.6021386  .976672863  .467590408  .940719436
     2.4    3.623937526  14.6044104  .996361663  .444740740  .880465996
     3.1    3.616777263  14.6439823  1.08670842  .450387019  .873525113
     4.1    3.606285221  14.7753379  1.24423807  .449151377  .872795855
     5.1    3.601292541  14.9175046  1.35164769  .451619901  .870196643
     6.1    3.592355315  15.2664809  1.53206882  .454426822  .867867231
     7.1    3.576522661  16.0109267  1.82428017  .458445213  .865748875
     8.1    3.543423434  17.8642196  2.43310119  .464754356  .865668758
     9.2    3.318110209  26.4847499  5.00000000  .483249987  .878042110
    10.2    3.224282653  30.4352981  5.00000000  .519891374  .873854837
    11.1    2.979532459  41.0114390  1.82832864  .440289724  .929683190
    12.2    2.952690070  41.3697424  1.65972009  .451506629  .971778167
    13.1    2.879273447  40.8137055  3.28937212  .489609315  .938539378
    14.1    2.847513587  42.8635369  3.29306589  .485632501  .942000005
    15.1    2.758557384  52.8024296  3.67402640  .477302004  .968212411
    16.1    2.739448044  58.2214265  3.92173877  .477106677  .976431892
    17.1    2.723179275  66.1736952  4.17773798  .478529832  .984775924
    18.1    2.715441356  76.0975138  4.43623299  .481272731  .994799579
    19.1    2.715305863  75.2944854  4.45579954  .482148307  .993432810
    20.1    2.715267478  75.5315130  4.48702213  .482412633  .993445857
    21.1    2.715110142  76.4273351  4.65468460  .483062999  .993257532
    22.2    2.714919875  77.3776046  4.90310113  .483384362  .992827117
    23.1    2.714793319  77.4871636  5.00000000  .482939070  .992745634
    24.1    2.714767949  77.2543975  5.00000000  .482386688  .992809144
    25.1    2.714767863  77.2388559  5.00000000  .482353350  .992775327
    26.1    2.714767862  77.2381313  5.00000000  .482352453  .992768969

Run stopped after 26 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable FFA

  Source                 DF  Sum of Squares  Mean Square

  Regression              4       26.23949        6.55987
  Residual               59        2.71477         .04601
  Uncorrected Total      63       28.95426

  (Corrected Total)      62        5.51318

  R squared = 1 - Residual SS / Corrected SS =     .50759




                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED        77.238131313 71.231543076 -65.29585716 219.77211978
  N          5.000000000 17.559261628 -30.13600136 40.136001361
  EMIN        .482352453   .033941346   .414435977   .550268929
  EMAX        .992768969   .065173698   .862356701  1.123181238

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000     .9668     .3652     .0316
  N            .9668    1.0000     .3562    -.0997
  EMIN         .3652     .3562    1.0000    -.0277
  EMAX         .0316    -.0997    -.0277    1.0000

Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:58
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLB
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	63
Syntax		MODEL PROGRAM ED=1.67 N=1 EMIN=1.89 EMAX=88 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR bilirubi
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.14

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.4    199042.8518  1.67000000  1.00000000  1.89000000  88.0000000
     1.4    273.9302334  161.712760  .983993051  1.85974687  9.89691168
     2.2    172.7108469  162.543207  1.14591673  2.56975957  12.4566123
     3.3    161.3463973  163.496454  1.70505513  2.19694685  12.8031080
     4.2    130.2911298  162.769747  1.00774064  1.50250350  14.7759373
     5.1    128.2556881  162.587492  .884697522  1.46588379  14.8478835
     6.1    127.8836368  162.593504  .932869032  1.52978771  14.5014493
     7.1    127.8191142  162.603187  .930385727  1.56745750  14.5615000
     8.1    127.8082280  162.592226  .923737132  1.54973236  14.5657026
     9.1    127.8080342  162.592792  .924842586  1.55102041  14.5626495
    10.1    127.8077080  162.588725  .925632411  1.55244487  14.5609964
    11.2    127.7407565  161.712549  .935335194  1.56193871  14.5185099
    12.1    127.7056597  161.246313  .936835861  1.56987048  14.5156070
    13.1    124.3564116  105.671265  1.13289766  1.73305988  12.7579664
    14.3    124.1773198  104.302717  1.13790529  1.72518407  12.7560864
    15.2    123.9872332  117.248833  1.09203923  1.65506012  13.2551360
    16.1    122.7015055  99.2297778  1.18395009  1.59260003  12.7023463
    17.1    122.4638239  94.7553126  1.23697302  1.58531206  12.5066772
    18.1    122.3109010  95.3214541  1.28428211  1.59278604  12.4437958
    19.1    122.2815842  93.3724365  1.31565744  1.61505666  12.3599995
    20.1    122.2797391  93.8547495  1.31495195  1.61558537  12.3809809
    21.1    122.2797222  93.8174366  1.31528395  1.61578357  12.3786785
    22.1    122.2797222  93.8157929  1.31530738  1.61578364  12.3786197

Run stopped after 22 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable BILIRUBI

  Source                 DF  Sum of Squares  Mean Square

  Regression              4     1909.24028      477.31007
  Residual               59      122.27972        2.07254
  Uncorrected Total      63     2031.52000

  (Corrected Total)      62      979.85714

  R squared = 1 - Residual SS / Corrected SS =     .87521

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED        93.815792889 20.040247855 53.715349556 133.91623622
  N          1.315307378   .301194721   .712618132  1.917996623
  EMIN       1.615783643   .251814708  1.111903576  2.119663710
  EMAX      12.378619677   .860991326 10.655780013 14.101459342




  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000    -.4905     .0872     .7655
  N           -.4905    1.0000     .3851    -.7079
  EMIN         .0872     .3851    1.0000    -.1972
  EMAX         .7655    -.7079    -.1972    1.0000

Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:59
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLB
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	63
Syntax		MODEL PROGRAM ED=1 N=1 EMIN=192 EMAX=667 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR asat
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.12

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.4    3498448.290  1.00000000  1.00000000  192.000000  667.000000
     1.4    2739576.125  246.599905  .975437553  187.284010  277.796189
     2.2    1215066.714  254.939676  1.03802629  288.557563  629.780440
     3.3    964140.4513  257.598401  1.57978990  249.099960  759.474960
     4.3    684260.7245  257.442351  .634588998  200.065582  822.241434
     5.3    679268.4193  257.263134  .677718573  191.619922  818.351163
     6.2    653870.5032  258.314222  .714216348  190.646716  878.093362
     7.2    621950.0266  258.647888  .530282373  158.795270  928.056420
     8.1    621014.6109  258.714693  .557709727  157.168319  933.989793
     9.1    620637.8147  258.738486  .544400087  156.294659  936.779512
    10.1    620635.2864  258.722549  .543257385  156.095283  936.824861
    11.1    620634.3049  258.702878  .543020348  156.030750  936.822815
    12.1    620627.9334  258.538268  .542076676  155.755360  936.756850
    13.1    620615.2303  258.159002  .541028460  155.427696  936.540469
    14.1    620577.7381  256.952366  .539360031  154.843274  935.756750
    15.1    620482.1213  253.740788  .537377860  153.965158  933.530027
    16.1    620215.6262  244.620965  .535659494  152.548644  926.967439
    17.1    619413.2881  217.422050  .537250224  150.133473  906.778979
    18.1    617902.6765  158.490831  .549503827  146.949232  860.733381
    19.1    616888.4201  128.505410  .566930458  147.446537  830.794812
    20.1    612075.2237  89.7433934  .634612155  156.746432  768.298000
    21.1    607808.4028  98.0259407  .679715974  165.230374  755.704725
    22.1    602513.3392  85.7186049  .747699000  168.089926  741.779277
    23.1    601067.4349  66.4385878  .832686540  172.414222  709.667452
    24.1    599008.3072  73.2014124  .885254886  171.261525  715.416888
    25.1    597504.5542  65.6746978  .921474097  173.477482  695.292245
    26.1    597057.3815  55.6541150  .971823350  172.707230  674.286162
    27.1    596606.3363  59.4879953  .957244195  171.316142  680.210149
    28.1    596558.8325  58.5013397  .965134205  170.657567  678.312174
    29.1    596551.0022  57.9162357  .972499714  170.686283  676.738740
    30.1    596549.9664  57.8533544  .974538134  170.752122  676.610111
    31.1    596549.8769  57.8695435  .975064994  170.803081  676.574441
    32.1    596549.8753  57.8769978  .974974572  170.801621  676.603290

Run stopped after 32 major iterations.
Optimal solution found.





Nonlinear Regression Summary Statistics     Dependent Variable ASAT

  Source                 DF  Sum of Squares  Mean Square

  Regression              4  7866436.12469  1966609.03117
  Residual               59   596549.87531    10111.01484
  Uncorrected Total      63  8462986.00000

  (Corrected Total)      62  2495174.88889

  R squared = 1 - Residual SS / Corrected SS =     .76092

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED        57.876997795 25.013702601  7.824694501 107.92930109
  N           .974974572   .323754549   .327143216  1.622805927
  EMIN      170.80162144 20.249982222 130.28150061 211.32174228
  EMAX      676.60329035 67.402699679 541.73079982 811.47578087

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000    -.5632     .0364     .8187
  N           -.5632    1.0000     .4777    -.7647
  EMIN         .0364     .4777    1.0000    -.2712
  EMAX         .8187    -.7647    -.2712    1.0000

Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:59
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLC
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	54
Syntax		MODEL PROGRAM ED=1 N=1 EMIN=102 EMAX=78 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR bodyweig
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.13

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.2    2825.552517  1.00000000  1.00000000  102.000000  78.0000000
     1.2    2654.033300  23.7165229  .989160606  105.060492  81.1960954
     2.4    1311.222305  26.5877153  .945213427  100.392785  73.9241242
     3.1    924.1926772  27.9062689  .882963679  103.211581  64.3069978
     4.1    704.4366395  28.1136640  .614534531  104.019841  62.1518030
     5.2    701.4493326  28.1849979  .607137015  104.132604  61.8430506
     6.1    667.5431051  28.1002656  .545588526  105.401821  61.2758342
     7.1    665.8342664  28.0709237  .537569725  105.744660  61.0571508
     8.1    665.5308284  28.0354522  .529099430  105.824262  61.0406631
     9.1    665.1088294  27.8542660  .527391622  105.897634  60.9075625
    10.2    640.3138204  16.9556070  .575700007  105.869049  64.9364521
    11.2    638.8288130  16.3569629  .580433098  105.879605  65.2117225
    12.1    611.1665795  9.70928039  .653918232  105.863211  69.7207012
    13.2    580.0863264  6.83889913  .810840092  104.983634  73.2549321
    14.2    531.9689768  5.37181413  1.01586305  104.781955  77.5177028
    15.1    528.3896251  6.00324652  1.03807946  104.421805  77.2180539
    16.1    525.1769688  5.91390933  1.05852088  104.414040  76.9562037
    17.1    524.7494874  5.73799231  1.08304614  104.321081  77.2213185
    18.1    524.2674086  5.59630785  1.12880288  104.380197  77.4593797
    19.1    524.1663920  5.66345818  1.12128537  104.337083  77.4192209
    20.1    524.1658587  5.66113821  1.12022483  104.339114  77.4158194

Run stopped after 20 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable BODYWEIG

  Source                 DF  Sum of Squares  Mean Square

  Regression              4   496885.54178   124221.38544
  Residual               50      524.16586       10.48332
  Uncorrected Total      54   497409.70764

  (Corrected Total)      53     5904.26105

  R squared = 1 - Residual SS / Corrected SS =     .91122

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED         5.661138214  1.200115065  3.250636165  8.071640263
  N          1.120224828   .223368048   .671576900  1.568872757
  EMIN      104.33911382   .768293381 102.79595115 105.88227649
  EMAX      77.415819376  1.838386190 73.723312042 81.108326710




  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000    -.4314    -.1349    -.7383
  N           -.4314    1.0000    -.5047     .7328
  EMIN        -.1349    -.5047    1.0000    -.2712
  EMAX        -.7383     .7328    -.2712    1.0000

Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:59
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLC
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	54
Syntax		MODEL PROGRAM ED=1 N=1 EMIN=0.14 EMAX=0.03 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR thymus
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.06

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.1    .0131503082  1.00000000  1.00000000  .140000000  .030000000
     1.1    .0118964897  1.00006666  1.00002234  .145343694  .034248010
     2.1    .0118934207  1.00000993  1.00004113  .145623220  .033924032
     3.1    .0117096870  .816442949  1.02946318  .147148051  .036262581
     4.1    .0117073219  .814203353  1.02997769  .147393231  .036488175
     5.1    .0117072068  .814912465  1.03042667  .147433845  .036429017
     6.1    .0117056366  .828090361  1.03834333  .147109973  .036443327
     7.1    .0117054762  .826410750  1.04373846  .147047457  .036539185
     8.1    .0117054760  .826336675  1.04388957  .147047980  .036540211
     9.1    .0117054760  .826338314  1.04389275  .147047906  .036540232

Run stopped after 9 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable THYMUS

  Source                 DF  Sum of Squares  Mean Square

  Regression              4         .54217         .13554
  Residual               50         .01171   2.341095E-04
  Uncorrected Total      54         .55388

  (Corrected Total)      53         .11597

  R squared = 1 - Residual SS / Corrected SS =     .89907

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED          .826338314   .179015952   .466774193  1.185902434
  N          1.043892749   .222467108   .597054413  1.490731085
  EMIN        .147047906   .005430300   .136140827   .157954986
  EMAX        .036540232   .004980872   .026535856   .046544607

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000     .0595    -.4780    -.4017
  N            .0595    1.0000    -.6414     .6112
  EMIN        -.4780    -.6414    1.0000    -.2915
  EMAX        -.4017     .6112    -.2915    1.0000

Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:59
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLC
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	54
Syntax		MODEL PROGRAM ED=1 N=1 EMIN=44 EMAX=1580 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR erod
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.06

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.3    13621220.85  1.00000000  1.00000000  44.0000000  1580.00000
     1.2    7526986.875  .978019398  .977797372  509.286938  1800.39739
     2.1    6683590.871  .886771382  .885627658  461.280232  2009.54433
     3.2    6448487.985  .815994873  .814136236  424.043838  2019.40557
     4.1    5719138.098  .498193359  .902037256  256.844544  2124.95211
     5.3    5116204.075  .184474427  .805810822  91.7931468  1860.73553
     6.2    5044158.937  .200514749  .768096108  87.4969122  1788.05432
     7.4    4919229.390  .207540823  .943690310  83.8664067  1743.47614
     8.1    4807410.216  .130959051  1.01816044  38.8240055  1609.84137
     9.3    4797794.210  .137967407  .984773960  .000000000  1675.17425
    10.2    4797662.311  .138799914  .988183631  3.00801600  1674.97229
    11.1    4792710.060  .138031516  1.01659010  17.2911848  1657.69757
    12.1    4788674.383  .136867946  1.14387773  72.1780498  1600.56604
    13.1    4786473.091  .134920575  1.09801426  41.3350031  1619.22676
    14.1    4786148.647  .136374301  1.11550777  50.0947400  1616.69862
    15.1    4786055.613  .136645261  1.13005202  54.4219352  1612.89443
    16.1    4786050.524  .136730412  1.13062495  54.3154774  1613.40312
    17.1    4786050.387  .136709190  1.13058497  54.1636457  1613.36663
    18.1    4786050.385  .136704830  1.13058470  54.1651398  1613.36670

Run stopped after 18 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable EROD

  Source                 DF  Sum of Squares  Mean Square

  Regression              4  39203138.6560  9800784.66401
  Residual               32  4786050.38475   149564.07452
  Uncorrected Total      36  43989189.0408

  (Corrected Total)      35  15775785.0613

  R squared = 1 - Residual SS / Corrected SS =     .69662

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED          .136704830   .064976610   .004351807   .269057852
  N          1.130584700   .678645786  -.251771529  2.512940929
  EMIN      54.165139807 274.67922717 -505.3381368 613.66841639
  EMAX      1613.3667023 218.71807013 1167.8525725 2058.8808322




  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000     .1828     .5533     .2700
  N            .1828    1.0000     .8061    -.7670
  EMIN         .5533     .8061    1.0000    -.5139
  EMAX         .2700    -.7670    -.5139    1.0000

Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:59
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLC
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	54
Syntax		MODEL PROGRAM ED=1.46 N=1 EMIN=0.310 EMAX=1.28 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR ffa
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.11

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.2    8.614762971  1.46000000  1.00000000  .310000000  1.28000000
     1.2    6.236313100  1.50427650  .972647960  .441792165  .962365119
     2.1    6.206860115  1.51304096  .969087422  .473468727  .971996695
     3.1    5.993526070  2.00389877  .873608920  .467243206  1.00811772
     4.1    5.627095650  3.26440660  .944206724  .485777497  1.04148344
     5.1    5.042705611  6.51566833  1.57088236  .554463163  1.08231435
     6.1    4.552325498  11.4723231  2.03362997  .491114149  1.27938844
     7.1    4.282887674  14.6049464  2.63778492  .526433860  1.28316616
     8.1    4.176970484  17.1232633  3.18665934  .543646573  1.24870791
     9.1    4.165034785  18.1568262  3.36620209  .541505278  1.24761365
    10.1    4.159357648  19.2628645  3.54780648  .544196795  1.25042312
    11.1    4.156048629  20.4411930  3.72225540  .546855067  1.25821544
    12.1    4.154006993  21.7981924  3.91159765  .549478481  1.26791030
    13.1    4.153628293  22.4694782  3.99499504  .550217897  1.27371703
    14.2    4.152494969  22.2785092  3.89900918  .548543680  1.27661306
    15.1    4.151200794  22.4612694  3.84418182  .548459617  1.28047856
    16.2    4.140672388  20.6579299  2.70471426  .538328005  1.29199550
    17.1    4.139120222  21.2353081  2.86725013  .543308301  1.29527663
    18.1    4.138874099  21.3818675  2.90078297  .542226027  1.29236487
    19.1    4.138555229  21.6506465  2.80988006  .544492082  1.29355301
    20.1    4.138470274  21.5075508  2.83979680  .543951253  1.29167968
    21.1    4.138468576  21.4867277  2.84141214  .543983699  1.29122605
    22.1    4.138468508  21.4845154  2.84166560  .544005941  1.29113111
    23.1    4.138468508  21.4846607  2.84167816  .544007643  1.29113082

Run stopped after 23 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable FFA

  Source                 DF  Sum of Squares  Mean Square

  Regression              4       29.87182        7.46795
  Residual               50        4.13847         .08277
  Uncorrected Total      54       34.01029

  (Corrected Total)      53        7.95473

  R squared = 1 - Residual SS / Corrected SS =     .47975

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED        21.484660722  7.040396331  7.343608518 35.625712926
  N          2.841678156  1.911948684  -.998583796  6.681940108
  EMIN        .544007643   .048610126   .446371332   .641643954
  EMAX       1.291130823   .131675445  1.026652909  1.555608738




  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000     .1186     .2603     .5139
  N            .1186    1.0000     .3034    -.3858
  EMIN         .2603     .3034    1.0000    -.0547
  EMAX         .5139    -.3858    -.0547    1.0000

Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:59
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLC
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	54
Syntax		MODEL PROGRAM ED=1.67 N=1 EMIN=1.89 EMAX=23 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR bilirubi
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.10

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.3    3539.031103  1.67000000  1.00000000  1.89000000  23.0000000
     1.3    2545.077167  47.2791002  .960197552  1.81477337  7.04623915
     2.3    2028.675380  49.7828476  1.04180903  4.94162932  10.0192552
     3.3    688.6844897  57.2038646  1.80210371  3.99243447  24.2850734
     4.3    464.7092967  57.6447047  1.03281721  2.64217454  28.2060980
     5.2    412.1515605  58.5148681  1.31243523  2.19193713  30.2672359
     6.1    366.9741373  59.5934439  .932835918  1.27229085  34.6772954
     7.1    364.2082328  59.8022146  .981380925  1.51404351  34.9351604
     8.1    360.8582338  59.5533924  1.02979744  1.49113165  34.2640052
     9.1    360.7247737  59.4959147  1.03386991  1.55580837  34.0962361
    10.1    360.7150343  59.4769929  1.03435619  1.55377183  34.1010052
    11.1    360.5915699  59.1008369  1.04040457  1.53870311  34.0816841
    12.1    360.3629908  58.2297823  1.05040812  1.52429552  33.9419899
    13.1    359.5452629  54.8884226  1.08324399  1.49922452  33.2581180
    14.1    356.8940693  40.4224308  1.22219490  1.44986216  29.9243750
    15.1    352.7806982  34.6935671  1.29327727  1.47234733  28.0050548
    16.1    345.8420980  29.5807096  1.38427642  1.57785237  25.3635516
    17.1    344.8904667  31.6549237  1.37013860  1.61770361  25.7678923
    18.1    343.9811798  30.8903710  1.41975171  1.78138920  25.3618689
    19.1    343.5364153  30.6683689  1.43590588  1.78687500  25.3028426
    20.1    340.6468633  27.5211738  1.62318364  1.80929227  24.0567600
    21.1    339.8313095  28.1440976  1.69384084  1.79321698  24.1157119
    22.1    339.5589318  26.8896983  1.77832579  1.82961773  23.4892766
    23.1    339.5287722  27.1474331  1.76989686  1.82689866  23.6190698
    24.1    339.5260012  27.0903205  1.77749393  1.83000321  23.5928600
    25.1    339.5258039  27.0768734  1.78015448  1.83147809  23.5841219
    26.1    339.5258034  27.0765529  1.78016649  1.83137880  23.5842028

Run stopped after 26 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable BILIRUBI

  Source                 DF  Sum of Squares  Mean Square

  Regression              4     4219.58420     1054.89605
  Residual               50      339.52580        6.79052
  Uncorrected Total      54     4559.11000

  (Corrected Total)      53     2769.13204

  R squared = 1 - Residual SS / Corrected SS =     .87739




                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED        27.076552922  5.084623680 16.863785697 37.289320147
  N          1.780166489   .479269825   .817524715  2.742808263
  EMIN       1.831378801   .462347760   .902725994  2.760031608
  EMAX      23.584202821  2.324831571 18.914641186 28.253764456

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000    -.6266    -.0078     .8440
  N           -.6266    1.0000     .3621    -.7754
  EMIN        -.0078     .3621    1.0000    -.2166
  EMAX         .8440    -.7754    -.2166    1.0000

Constrained Nonlinear Regression

Notes
Output Created		05-FEB-2002 18:07:59
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss.sav
	Filter	WLC
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	54
Syntax		MODEL PROGRAM ED=1 N=1 EMIN=192 EMAX=1600 .
COMPUTE PRED_ = emin+((emax-emin)*dose**n)/(ed**n+dose**n).
CNLR asat
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
 /BOUNDS ED <= 10000; ED >= 0.01; EMIN >= 0; N>=0; N<=5
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.18

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED           N        EMIN        EMAX

     0.4    18661360.24  1.00000000  1.00000000  192.000000  1600.00000
     1.4    15597078.29  869.910720  .913100238  175.315246  -1505.6522
     2.2    10299232.38  872.951162  .954315475  484.408353  -1164.9237
     3.4    8278975.226  887.428681  2.10568839  346.549197  1902.32831
     4.1    4721326.561  911.803188  1.09424998  530.945581  7780.91407
     5.3    4681947.405  912.101372  1.07919082  531.571010  7855.98276
     6.1    2255590.309  921.251656  .816547648  281.467043  10492.2387
     7.2    1365883.316  919.764362  .919678103  225.462815  10188.4831
     8.1    1358178.932  919.446996  .925854309  240.147096  10089.1649
     9.1    1293102.028  917.906803  .889687919  237.324397  9732.83149
    10.1    1121462.061  909.967471  .755826870  223.879190  7877.21288
    11.1    964612.7123  900.246629  .611850727  207.321443  5610.06566
    12.1    946275.7230  897.317242  .558765817  178.165593  4971.96575
    13.1    937595.2837  899.980756  .588483155  153.060420  5643.16972
    14.1    924904.6269  899.270098  .587149080  168.855555  5450.71594
    15.1    924732.9639  899.152120  .586319037  168.576082  5424.55709
    16.1    924725.3716  899.153019  .586634450  168.498969  5425.55006
    17.1    924725.0888  899.158063  .586800176  168.538234  5427.10098
    18.1    924725.0574  899.157965  .586837992  168.553457  5427.47834
    19.1    924724.9980  899.154621  .586882833  168.572532  5427.91934
    20.1    924724.8312  899.139938  .586961139  168.605912  5428.66550
    21.1    924724.4059  899.094014  .587085343  168.658564  5429.78685
    22.1    924723.2812  898.958746  .587291182  168.744963  5431.48252
    23.1    924720.3486  898.583763  .587629805  168.884865  5433.85215
    24.1    924712.6556  897.563936  .588197444  169.113665  5436.74369
    25.1    924692.5007  894.833785  .589166004  169.489563  5438.92830
    26.1    924639.5406  887.566056  .590872832  170.115866  5435.88555
    27.1    924500.4783  868.278353  .594020216  171.183168  5413.39076
    28.1    924160.5065  818.351660  .600039142  173.024479  5330.94241
    29.1    923684.3989  730.198151  .608034803  175.138216  5147.04998
    30.1    919199.9053  536.859450  .611284569  173.998900  4511.03737
    31.1    916141.8062  460.415133  .604320603  170.078323  4131.45334
    32.1    915530.9660  414.360063  .605154994  168.969625  3973.66009
    33.1    914222.2796  388.422421  .609214697  166.470411  3903.29947
    34.1    912053.7656  361.442691  .618698884  165.488331  3829.78261
    35.1    911058.6407  321.456678  .624871585  165.784875  3687.89272
    36.1    907670.9709  256.417916  .647358585  170.713860  3437.48253
    37.1    905881.8223  258.816286  .671168585  180.914624  3412.37975
    38.1    899635.0051  185.970829  .677807387  180.766905  3045.25650
    39.1    899401.2381  209.051967  .662142648  175.207672  3114.48978
    40.1    895896.5491  179.683127  .674419778  177.071818  2967.80172
    41.1    895534.8069  175.859099  .675990517  177.260601  2947.49499
    42.1    893829.3969  154.159225  .688916364  178.891009  2833.46563
    43.1    892291.2398  149.398457  .696383517  179.590325  2807.17090
    44.1    886605.3055  106.712479  .726235159  179.248838  2506.67673
    45.2    875918.3308  85.5914447  .771425996  177.834657  2259.56404
    46.2    866137.1563  61.2508436  .804835181  179.457441  2047.38231
    47.1    862733.0061  63.4365116  .823860084  187.097023  2060.14885
    48.1    860682.9325  55.2557249  .853105695  192.621821  1970.57362
    49.1    855967.0496  49.4262203  .877659851  195.222303  1879.50674



    50.1    847892.1927  39.7957246  .937140353  195.206586  1737.95470

Run stopped after 50 major iterations.
Too many major iterations.


Nonlinear Regression Summary Statistics     Dependent Variable ASAT

  Source                 DF  Sum of Squares  Mean Square

  Regression              4  17753878.8073  4438469.70182
  Residual               50   847892.19274    16957.84385
  Uncorrected Total      54  18601771.0000

  (Corrected Total)      53  7943102.83333

  R squared = 1 - Residual SS / Corrected SS =     .89325

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED        39.795724588 27.745902901 -15.93356151 95.525010684
  N           .937140353   .269105335   .396626380  1.477654326
  EMIN      195.20658578 29.234262852 136.48784075 253.92533082
  EMAX      1737.9547032 440.48387110 853.21681017 2622.6925962

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED         N      EMIN      EMAX

  ED          1.0000    -.9081    -.3724     .9872
  N           -.9081    1.0000     .5723    -.9201
  EMIN        -.3724     .5723    1.0000    -.4358
  EMAX         .9872    -.9201    -.4358    1.0000

